---
title: "Kundan K. - Sr. Vice President - Principal Engineer (ML&AI) - Fraud & Financial Crime in Bengaluru | Tal"
description: "Meet Kundan K., ML & AI Lead @ NatWest Group | ex-McKinsey & Company | ex-Quantumblack | AI/ML Engineering | Fraud & Risk AI | AI-Powered SDLC/PDLC Automations | FinTech | Life Sciences | AWS | Databricks based in Bengaluru. AI stack includes claude, kiro, and langfuse."
image: "https://tal.club/meet/kundan-kumar-10/share-image"
---

# Kundan K\. on Tal

## Headline

ML & AI Lead @ NatWest Group \| ex\-McKinsey & Company \| ex\-Quantumblack \| AI/ML Engineering \| Fraud & Risk AI \| AI\-Powered SDLC/PDLC Automations \| FinTech \| Life Sciences \| AWS \| Databricks

## About

I am a Data & AI Engineering lead with 12\+ years of experience delivering enterprise\-scale Data, ML, and AI solutions across banking, insurance, life sciences, and manufacturing in the US, UK, and Middle East\. I specialise in taking AI solutions from prototype to production, designing secure, scalable, cloud\-native systems and embedding them into real business workflows to deliver measurable impact\. Combining deep hands\-on engineering with a consulting mindset, I translate complex customer needs into production\-ready AI systems, working closely with business, product, and cross\-functional teams, with a focus on technical ownership, pragmatic execution, and reliable delivery at scale\. My 7\.5 years at McKinsey shaped a global, client\-centric engineering mindset, enabling me to navigate ambiguity, solve complex problems, and deliver high\-impact AI solutions across regulated environments\. I drive technical direction and mentor engineers while remaining deeply hands\-on across architecture, implementation, and production delivery\.

## Location

Bengaluru

## AI stack

claude

kiro

langfuse

langgraph

mcp

OpenAI Agents SDK

## Work experience

Sr\. Vice President \- Principal Engineer \(ML&AI\) \- Fraud & Financial Crime at NatWest Group, Sep 2024 \- Present · 2 y, Bengaluru, Karnataka, India, Lead hands\-on ML and AI engineering for fraud and financial crime prevention across payment journeys and digital channels, delivering high\-impact capabilities through real\-time fraud detection, AI\-powered investigation and decisioning automation, and scalable AI/MLOps\. Design, build, and deploy fraud profiling ML models into production and pioneer multi\-agent AI workflows to automate and scale fraud investigation and decisioning\. Drive the technical development of next\-generation AI\-driven fraud intelligence platforms, while mentoring 20\+ Data & AI specialists across India and the UK and enabling secure, compliant AI delivery at enterprise scale\.

Jr\. Principal Data Consultant at McKinsey & Company, Feb 2017 \- Aug 2024 · 7 y 6 mo, Bengaluru, Karnataka, India, Data & AI Engineering expert with \~7\.5 years at QuantumBlack, McKinsey & Company, delivering 10\+ high\-impact client engagements and contributing to 5\+ reusable engineering assets\. Progressed from Engineer to Expert through deep technical delivery and client\-facing engineering leadership\. \- Designed, built, and deployed end\-to\-end Data and AI solutions for global clients across banking, insurance, life sciences, and manufacturing in the US, UK, APAC, and Middle East\. Provided hands\-on technical leadership across Data Product Engineering, AI transformation, DataOps, and MLOps, working closely with data scientists, ML engineers, data engineers, and business stakeholders\. \- Accelerated AI product development by building modular, reusable engineering assets that improved delivery speed by \~50%\. Developed frameworks for data anonymisation, scalable data transformations, automated validation, and CI/CD to enable reliable deployment and operationalisation of Data and ML workflows\. \- Owned technical delivery across the AI lifecycle, from problem definition and solution architecture through implementation, production deployment, and optimisation, while collaborating with senior stakeholders and multidisciplinary teams across geographies\. \- Developed a strong client\-centric and global engineering mindset, combining pragmatic problem\-solving, technical depth, and agility to deliver high\-impact AI solutions in complex enterprise environments\.

Product Engineer \- Retail Analytics Platform at Ugam, Aug 2015 \- Jan 2017 · 1 yr 6 mos, Bangalore, India, As part of the data product team, contributed significantly to development of large scale retail product and pricing intelligence platform to serve retail & consumer clients with better pricing decisions, margin optimizations and category management\. \- Contributed to platform features like product match and recommendation engine, taxonomy traversal, etc\. Gained good experience in handling huge datasets through distributed streaming systems like Storm, Kafka, GraphDB, Elasticsearch,etc\. \- Developed scalable applications and utilities using map\-reduce programming, java multithreading, dynamic configuration loading concepts\. Worked in a an agile product team, acquired good knowledge of agile methodologies for software development lifecycle management\.

Associate Software Engineer at Torry Harris Business Solutions, Jul 2013 \- Jul 2015 · 2 yrs 1 mo, Bangalore, India, Served in the centre of excellence \(COE\) as a Big Data Engineer, responsible for exploring cutting edge big data technologies like Hadoop, Hive, Spark, etc to enhance firm’s capabilities and service offerings in the data domain\. \- As part of product initiative developed large scale log monitoring/ IOT data processing capabilities using technologies such as Hadoop, Pig, Hive, etc for a telecom client\. Gathered requirements and performed gap analysis through design workshops with users\. \- Additionally contributed to a NLP based Text mining application\.

## Education

Bachelor of Engineering \(B\.E\.\), Information Technology, Visvesvaraya Technological University

[View the original profile](https://tal.club/meet/kundan-kumar-10)

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